Wen Hu
Impact in
-
- Nerve injury and regeneration
- Neuroscience and Neuropharmacology Research
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
- Silk-based biomaterials and applications
Papers in
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- Nerve injury and regeneration 13
- Neuroscience and Neuropharmacology Research 8
- Neurobiology and Insect Physiology Research 3
- Physiology 21
- Alzheimer's disease research and treatments 18
- Co-authors
- Xiaosong Gu (16 shared papers)Jian Wu (4 shared papers)Fei Liu (21 shared papers)Fei Ding (7 shared papers)Khalid Iqbal (21 shared papers)Yumin Yang (6 shared papers)Cheng‐Xin Gong (16 shared papers)Yunn Chyn Tung (9 shared papers)
- Journals
- Journal of Alzheimer s Disease (6 papers)Scientific Reports (5 papers)Alzheimer s & Dementia (4 papers)Frontiers in Aging Neuroscience (3 papers)Molecular Neurobiology (2 papers)
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Wen Hu
59 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 120
- Cellular and Molecular Neuroscience 1.2k
- Biomaterials 727
- Developmental Neuroscience 141
- Neurology 180
- Physiology 533
Countries citing papers authored by Wen Hu
This map shows the geographic impact of Wen Hu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wen Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Hu more than expected).
Fields of papers citing papers by Wen Hu
This network shows the impact of papers produced by Wen Hu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wen Hu. The network helps show where Wen Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 288 | |
| 2 | 2005 | 259 | |
| 3 | 2007 | 130 | |
| 4 | 2014 | 118 | |
| 5 | 2016 | 110 | |
| 6 | 2010 | 98 | |
| 7 | 2019 | 98 | |
| 8 | 2016 | 96 | |
| 9 | 2014 | 94 | |
| 10 | 2018 | 93 | |
| 11 | 2018 | 78 | |
| 12 | 2015 | 76 | |
| 13 | 2008 | 69 | |
| 14 | 2014 | 67 | |
| 15 | 2004 | 64 | |
| 16 | 2011 | 59 | |
| 17 | 2017 | 58 | |
| 18 | 2012 | 53 | |
| 19 | 2011 | 43 | |
| 20 | 2017 | 43 |
About Wen Hu
Wen Hu is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Biomaterials and Surgery, having authored 60 papers that have together received 2.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (18 papers), Nerve injury and regeneration (13 papers), Neuroscience and Neuropharmacology Research (8 papers), Silk-based biomaterials and applications (5 papers), Receptor Mechanisms and Signaling (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Neurobiology and Insect Physiology Research (3 papers) and Nerve Injury and Rehabilitation (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Biomaterials (727 citations), Developmental Neuroscience (141 citations), Neurology (180 citations) and Physiology (533 citations). Wen Hu has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Xiaosong Gu, Jian Wu, Fei Liu, Fei Ding, Khalid Iqbal, Yumin Yang, Cheng‐Xin Gong, Yunn Chyn Tung, Xiaodong Wang and Yong Cao. Their work appears in journals such as Journal of Alzheimer s Disease, Scientific Reports, Alzheimer s & Dementia, Frontiers in Aging Neuroscience and Molecular Neurobiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.